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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sap-big-data-predictive-analytics-an-overview/
课程评论：没有评论
课程名称：SAP大数据预测分析概述 课程概述：大数据分析是研究庞大数据集的过程，用以发现隐藏的模式、未知的关联、市场趋势、客户偏好以及其他有用的商业信息。通过分析结果，企业可以实施更有效的营销策略，发掘新的收入机会，改善客户服务，提高运营效率，并在竞争中获得优势等。这门课程的主要目标是帮助企业通过让数据科学家、预测模型师和其他分析专业人员能够分析大量交易数据及其他传统商业智能程序未能利用的数据，来做出更明智的商业决策，这些数据可能包括网络服务器日志、互联网流数据、社交媒体内容和社交网络活动报告、客户电子邮件和调查回应的文本、移动电话通话详细记录以及互联网物联网连接的传感器收集的机器数据。 大数据可以使用作为高级分析学科的一部分的常用软件工具进行分析，例如预测分析、数据挖掘、文本分析和统计分析。然而，组织在大数据分析项目中可能会遭遇一些潜在的困难，包括内部分析技能匮乏以及聘请经验丰富的分析专业人士的高成本。此外，涉及的信息量及其多样性可能引起数据管理上的问题，如数据质量和一致性问题。此外，整合Hadoop系统和数据仓库也可能面临挑战，尽管现在各种供应商提供了Hadoop与关系数据库之间的软件连接器，以及其他具有大数据能力的数据集成工具。SAP提供一系列解决方案，涵盖整个分析领域。 注意：SAP®是德国SAP A.G的注册商标。我们与SAP没有任何关联。
Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The analytical findings can lead to more effective marketing, new revenue opportunities, better customer service, improved operational efficiency, competitive advantages over rival organizations and other business benefits. The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence programs. That could include Web server logs and Internet stream data, social media content and social network activity reports, text from customer emails and survey responses, mobile-phone call detail records and machine data captured by sensors connected to the Internet of things. Big data can be analyzed with the software tools commonly used as part of advanced analytics disciplines such as predictive analytics, Data mining, Text analytics and Statistical Analysis. Potential pitfalls that can trip up organizations on big data analytics initiatives include a lack of internal analytics skills and the high cost of hiring experienced analytics professionals. The amount of information that's typically involved, and its variety, can also cause data management headaches, including data quality and consistency issues. In addition, integrating Hadoop systems and data warehouses can be a challenge, although various vendors now offer software connectors between Hadoop and relational databases, as well as other data integration tools with big data capabilities. SAP has whole range of solution for taking care of entire analytics scope. ---------------------------------------------------------------------SAP® is a registered trademark of SAP A.G, Germany. We have no association with SAP.
